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Sr Devops Engineer Jobs in Utah (NOW HIRING)

NICE

AI DevOps Engineer

Sandy, UT

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand ...

NICE

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand ...

Deegit Inc

Senior DevOps/SaltStack Engineer

Provo, UT · On-site

$123K - $158K/yr

Company Description Deegit Inc. • Salt Stack Developers: appears to be the most important criteria • Deployment Automation Pipeline • Jenkins , artifactory, vault, console- Administrators • ...

CGI Inc.

Platform Engineer (DevOps)

Salt Lake City, UT · On-site

$51 - $70/hr

Platform Engineer (DevOps) Category: Project Management Main location: United States, Utah, Salt Lake City Position ID:J0826-0184 Employment Type: Full Time U.S. - Technology as a force for good By ...

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Showing results 21-40

All JobsSr Devops Engineer JobsSr Devops Engineer Jobs in Utah

Sr Devops Engineer information

See Utah salary details

$64.6K

$134.9K

$179.3K

How much do sr devops engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for sr devops engineer in Utah is $134,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $152,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sr DevOps engineer, and why are they important?

To thrive as a Sr DevOps Engineer, you need deep expertise in software development, systems administration, cloud platforms, and automation, often supported by a degree in computer science or a related field. Mastery of tools like Docker, Kubernetes, Jenkins, Terraform, and experience with AWS, Azure, or GCP, as well as certifications such as AWS Certified DevOps Engineer, are highly valued. Strong collaboration, problem-solving, and communication skills help you bridge the gap between development and operations teams. These skills ensure streamlined software delivery, system reliability, and efficient cross-functional teamwork, which are critical for business agility and scalability.

How does a Sr DevOps engineer typically collaborate with development and operations teams on a daily basis?

As a Sr DevOps Engineer, you'll work closely with both development and IT operations teams to streamline software delivery and infrastructure management. This often involves setting up CI/CD pipelines, automating deployments, and troubleshooting issues that span both application code and infrastructure. Strong communication skills are essential, as you'll facilitate cross-team discussions, recommend best practices, and help resolve any roadblocks that arise. Your role will also include mentoring junior engineers and ensuring that security and scalability standards are maintained across projects.

What is a Sr DevOps engineer?

Sr DevOps Engineers are senior-level professionals who bridge the gap between software development and IT operations. They are responsible for automating, streamlining, and optimizing the deployment, monitoring, and maintenance of applications and infrastructure. Their role typically involves implementing CI/CD pipelines, managing cloud resources, ensuring system reliability, and promoting a culture of collaboration across development and operations teams. With their advanced expertise, they often mentor junior engineers and drive best practices for security, scalability, and efficiency.

What is the difference between Sr Devops Engineer vs Devops Engineer?

AspectSr Devops EngineerDevops Engineer
Required CredentialsBachelor's degree in CS or related, often with certifications like AWS, Azure, or KubernetesBachelor's degree in CS or related, with similar certifications
Work EnvironmentSenior-level projects, mentoring, complex system architectureEntry to mid-level projects, supporting CI/CD pipelines and automation
Employer & Industry UsageTech companies, large enterprises, cloud service providersStartups, small to medium businesses, tech firms

The main difference between a Sr Devops Engineer and a Devops Engineer lies in experience, project complexity, and responsibilities. Sr Devops Engineers typically handle more complex systems, mentor junior staff, and lead initiatives, while Devops Engineers focus on supporting and implementing automation and deployment pipelines.

What are popular job titles related to Sr Devops Engineer jobs in Utah? For Sr Devops Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Sr Devops Engineer jobs in Utah look for? The top searched job categories for Sr Devops Engineer jobs in Utah are:
What cities in Utah are hiring for Sr Devops Engineer jobs? Cities in Utah with the most Sr Devops Engineer job openings:
Sr Devops Engineer jobs near you
Infographic showing various Sr Devops Engineer job openings in Utah as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $134,883 per year, or $64.8 per hour.

AI DevOps Engineer

NICE

Sandy, UT

$50.25 - $68.75/hr

Full-time

Posted 6 days ago

Job description

AI DevOps Engineer - Cloud AI Platforms

At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

 

What's the role all about?

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

 
 

How will you make an impact?

 Build and scale AI-driven workflows and automation systems
 Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
 Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
 Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and orchestration layers
 Translate real-world operational problems into automated, intelligent solutions
 Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
 Improve system performance, reliability, and observability
 
 

Key Responsibilities

 Design and develop scalable backend systems for AI-powered platforms
 Build and maintain AI integrations, workflows, and automation pipelines
 Implement REST APIs, microservices, and event-driven architectures
 Work with both structured and unstructured data for AI use cases
 Contribute to CI/CD pipelines, testing, and deployment automation
 Troubleshoot and optimize production systems
 Collaborate with cross-functional teams to deliver high-quality solutions
 Contribute to reusable frameworks and engineering best practices
 
 

What we're looking for

 Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
 Experience building scalable, distributed systems in cloud environments
 Familiarity with APIs, microservices, and event-driven systems
 Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
 Experience with AWS / Azure / GCP
 Working knowledge of CI/CD, Docker, Kubernetes
 Strong problem-solving and analytical skills
 Ability to work in a fast-paced, evolving environment
 
 

Nice to have

 Experience with LLM frameworks or prompt engineering
 Knowledge of observability tools (Grafana, Prometheus, etc.)
 Experience building automation or internal platforms
 Frontend exposure (React, JavaScript)

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